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CSCSegmentAlgorithmSK_cfi.py

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import FWCore.ParameterSet.Config as cms

# following thresholds are optimized using a sample of single muons 
# with flat pT (10 - 50 GeV) and eta (0.8 - 2.4) distributions
SK_ME1234 = cms.PSet(
    dPhiFineMax = cms.double(0.025),
    verboseInfo = cms.untracked.bool(True),
    chi2Max = cms.double(99999.0),
    dPhiMax = cms.double(0.003),
    wideSeg = cms.double(3.0),
    minLayersApart = cms.int32(2),
    dRPhiFineMax = cms.double(8.0),
    dRPhiMax = cms.double(8.0)
)
SK_ME1A = cms.PSet(
    dPhiFineMax = cms.double(0.025),
    verboseInfo = cms.untracked.bool(True),
    chi2Max = cms.double(99999.0),
    dPhiMax = cms.double(0.025),
    wideSeg = cms.double(3.0),
    minLayersApart = cms.int32(2),
    dRPhiFineMax = cms.double(3.0),
    dRPhiMax = cms.double(8.0)
)
CSCSegAlgoSK = cms.PSet(
    chamber_types = cms.vstring('ME1/a', 
        'ME1/b', 
        'ME1/2', 
        'ME1/3', 
        'ME2/1', 
        'ME2/2', 
        'ME3/1', 
        'ME3/2', 
        'ME4/1'),
    #    vstring chamber_types = {"ME1/a", "ME1/b", "ME1/2", "ME1/3", "ME2/1", "ME2/2", "ME3/1", "ME3/2", "ME4/1", "ME4/2"}
    #    vint32 parameters_per_chamber_type = {2, 1, 1, 1, 1, 1, 1, 1, 1, 1}   
    algo_name = cms.string('CSCSegAlgoSK'),
    algo_psets = cms.VPSet(cms.PSet(
        SK_ME1234
    ), 
        cms.PSet(
            SK_ME1A
        )),
    parameters_per_chamber_type = cms.vint32(2, 1, 1, 1, 1, 
        1, 1, 1, 1)
)

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